a returned object of function <code>DNMF</code>

object

the output filename. Default is "./tmp.rnk"

type o2m (Default) or o2o. to compare with multi sample labels. 
o2m means one Vs others, while o2o means one Vs another one.

type

write a rnk file from matrix W in a returned object of function <code>DNMF</code>.
The rnk format is referred <a href="https://software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats">RNK</a>

Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner. It refers to three article, Zafeiriou, Stefanos, et al. "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695. Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds." Neural Information Processing. Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and Shun-ichi Amari. "A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech." Cognitive neurodynamics 6.6 (2012): 525-535.

Zhilong Jia

DNMF

Discriminant Non-Negative Matrix Factorization

Xiang Zhang

rnk function

write a rnk file from matrix W in a returned object of function <code>DNMF</code>.
The rnk format is referred <a href='https://software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats'>RNK</a>

rnk: write rnk to a file from matrix W.

Description

Usage

Arguments

Examples